Binary Analysis Next Generation alternatives

Looking for an alternative tool to replace Binary Analysis Next Generation? During the review of Binary Analysis Next Generation we looked at other open source tools. Based on their category, tags, and text, these are the ones that have the best match.

Top 3

  1. Cutter (graphical user interface for radare2)
  2. LIEF (library for analysis of executable formats)
  3. radare2 (reverse engineering tool and binary analysis)

These tools are ranked as the best alternatives to Binary Analysis Next Generation.

Alternatives (by score)

89

Cutter

Introduction

Cutter is a graphical user interface for radare2, the well-known reverse engineering framework. It focuses on those who are not familiar enough with radare2, or rather have a graphical interface instead of the command-line interface that radare2 provides.

Project details

Cutter is written in C++, Qt.

Strengths and weaknesses

  • + More than 50 contributors
  • + More than 3000 GitHub stars
  • + The source code of this software is available

    Typical usage

    • Binary analysis
    • Malware analysis
    • Reverse engineering

    Cutter review

    74

    LIEF

    Introduction

    LIEF is short for Library to Instrument Executable Formats.

    Project details

    LIEF is written in Python.

    Strengths and weaknesses

    • + The source code of this software is available

      Typical usage

      • Binary analysis
      • Malware analysis
      • Reverse engineering

      LIEF review

      100

      radare2

      Introduction

      Radare2 is a popular framework to perform reverse engineering on many different file types. It can be used to analyze malware, firmware, or any other type of binary files. Besides reverse engineering, it can be used for forensics on filesystems and do data carving. Tasks can be scripted and support languages like JavaScript, Go, and Python. Even software exploitation is one of the functions it can be used in.

      Project details

      radare2 is written in C.

      Strengths and weaknesses

      • + More than 500 contributors
      • + More than 8000 GitHub stars
      • + Many releases available
      • + The source code of this software is available

        Typical usage

        • Digital forensics
        • Reverse engineering
        • Software exploitation
        • Troubleshooting

        radare2 review

        64

        Mal Tindex

        Introduction

        Mal Tindex is a tool that performs binary analysis on malware samples. It analyzes the binaries it is provided to learn about the specifics of each malware sample that makes them unique. This way data can be gathered that may provide background information. For example, it could provide the attribution of a particular actor or malware campaign.

        Project details

        Mal Tindex is written in Python.

        Strengths and weaknesses

        • + The source code of this software is available

          Typical usage

          • Malware analysis
          • Malware research

          Mal Tindex review

          78

          SSMA

          Introduction

          SSMA is short for Simple Static Malware Analyzer. The tool can perform a set of tests against a malware sample and retrieve metadata from it. SSMA can analyze ELF and PE and analyze its structure. For example, it can retrieve the PE file header information and its sections. Other pieces it can analyze is the usage of packers, anti-debugging techniques, cryptographic algorithms, domains, email addresses, and IP addresses. It can also check if the sample is already detected or blocked by using VirusTotal and the blocklist of malwaredomains.com.

          Project details

          SSMA is written in Python.

          Strengths and weaknesses

          • + The source code of this software is available
          • - No releases on GitHub available

          Typical usage

          • Malware analysis
          • Malware detection
          • Malware scanning
          • Reverse engineering

          SSMA review

          78

          PyREBox

          Introduction

          PyREBox is short for Python scriptable Reverse Engineering Sandbox. It provides dynamic analysis and debugging capabilities of a running QEMU virtual machine. The primary usage is the analysis of running processes to perform reverse engineering. PyREBox can change parts of the running system by changing data in memory or within processor registers.

          Project details

          PyREBox is written in C++, Python.

          Strengths and weaknesses

          • + The source code of this software is available

            Typical usage

            • Binary analysis
            • Malware analysis
            • Reverse engineering

            PyREBox review

            76

            MultiScanner

            Introduction

            MultiScanner helps malware analysts by providing a toolkit to perform both automated and manual analysis. The data extracted from the analysis can be easily stored together, including the relevant metadata and samples. It allows enriching the data further by retrieving information from external resources.

            Project details

            Strengths and weaknesses

            • + More than 10 contributors
            • + The source code of this software is available

              Typical usage

              • Malware analysis
              • Malware detection
              • Malware scanning

              MultiScanner review

              60

              YaraGuardian

              Introduction

              YaraGuardian provides a web-based interface that helps to manage Yara rules. It can be used to search, organize, and bulk-edit rules. The tool also prevents creating duplicate entries, which is a nice additional benefit of this management utility.

              Project details

              YaraGuardian is written in Python.

              Strengths and weaknesses

              • + The source code of this software is available

                Typical usage

                • Malware analysis

                YaraGuardian review

                68

                Malice

                Introduction

                Malice is a malware analysis that wants to provide a free and open source version of VirusTotal. The goal of Malice is to make it usable by both independent researchers up to fortune 500 companies.

                Malice is useful for those that do malware analysis or deal with user-generated files that may contain malware. The framework allows scanning files and directories to see if they are infected.

                Project details

                Malice is written in Golang.

                Strengths and weaknesses

                • + More than 500 GitHub stars
                • + The source code of this software is available

                  Typical usage

                  • Malware analysis
                  • Malware detection
                  • Malware research
                  • Malware scanning

                  Malice review

                  64

                  MalPipe

                  Introduction

                  MalPipe is a modular malware and indicator collection and processing framework. It is designed to pull information about malware, domains, URLs, and IP addresses from multiple feeds. Finally, it will enrich the collected data and export the results.

                  Project details

                  MalPipe is written in Python.

                  Strengths and weaknesses

                  • + The source code of this software is available
                  • - No releases on GitHub available

                  Typical usage

                  • Data enrichment
                  • Data processing
                  • Intrusion detection
                  • Malware analysis
                  • Malware detection

                  MalPipe review

                  74

                  YARA

                  Introduction

                  YARA is a tool to identify and classify malware samples. It uses textual or binary patterns to match data, combined with a boolean expression to define a match. YARA is multi-platform, can be used via a command-line interface or via Python scripts using the yara-python extension.

                  Project details

                  YARA is written in C.

                  Strengths and weaknesses

                  • + More than 50 contributors
                  • + More than 2000 GitHub stars
                  • + The source code of this software is available

                    Typical usage

                    • Malware analysis
                    • Malware detection
                    • Malware scanning

                    YARA review

                    84

                    BAP (Binary Analysis Platform)

                    Introduction

                    The main purpose of BAP is to provide a toolkit for program analysis. This platform comes as a complete package with a set of tools, libraries, and related plugins. There are bindings available for C, Python, and Rust.

                    Project details

                    BAP is written in OCaml.

                    Strengths and weaknesses

                    • + More than 25 contributors
                    • + More than 500 GitHub stars
                    • + The source code of this software is available

                      Typical usage

                      • Binary analysis
                      • Malware analysis

                      BAP review

                      85

                      Manticore

                      Introduction

                      Manticore is a so-called symbolic execution tool to perform a binary analysis. It supports Linux ELF binaries and Ethereum smart contracts. The tool helps with researching binaries and their behavior. This might be useful to learn how malware works and troubleshooting.

                      Project details

                      Manticore is written in Python.

                      Strengths and weaknesses

                      • + More than 25 contributors
                      • + More than 1000 GitHub stars
                      • + The source code of this software is available

                        Typical usage

                        • Binary analysis
                        • Malware analysis
                        • Reverse engineering

                        Manticore review

                        64

                        PEDA

                        Introduction

                        PEDA is an extension for GDB (GNU DeBugger) to help with the development of exploit code. It can be used by reverse engineers and pentesters.

                        Project details

                        PEDA is written in Python.

                        Strengths and weaknesses

                        • + More than 2000 GitHub stars
                        • + The source code of this software is available

                          Typical usage

                          • Debugging
                          • Exploit development
                          • Reverse engineering

                          PEDA review

                          60

                          pyelftools

                          Introduction

                          This toolkit is used by other software, or standalone. Its main purpose is to parse binary ELF files and DWARF debugging information. This can be useful during malware analysis or troubleshooting issues with programs.

                          Project details

                          pyelftools is written in Python.

                          Strengths and weaknesses

                          • + More than 25 contributors
                          • + More than 500 GitHub stars
                          • + The source code of this software is available

                            Typical usage

                            • Binary analysis
                            • Malware analysis

                            pyelftools review

                            60

                            bamfdetect

                            Introduction

                            With bamfdetect, malware and bots can be analyzed. It identifies and extracts information and returns data in JSON format.

                            Project details

                            bamfdetect is written in Python.

                            Strengths and weaknesses

                            • + The source code of this software is available

                              Typical usage

                              • Malware analysis
                              • Malware scanning

                              bamfdetect review

                              78

                              Intrigue Core

                              Introduction

                              Intrigue Core provides a framework to measure the attack surface of an environment. This includes discovering infrastructure and applications, performing security research, and doing vulnerability discovery.

                              Intrigue also allows enriching available data and perform OSINT research (open source intelligence). The related scans include DNS subdomain brute-forcing, email harvesting, IP geolocation, port scanning, and using public search engines like Censys, Shodan, and Bing.

                              Project details

                              Intrigue Core is written in Ruby.

                              Strengths and weaknesses

                              • + More than 500 GitHub stars
                              • + The source code of this software is available

                                Typical usage

                                • Asset discovery
                                • Attack surface measurement
                                • Intelligence gathering
                                • OSINT research
                                • Penetration testing
                                • Security assessment

                                Intrigue Core review

                                89

                                r2frida

                                Introduction

                                Both Radare2 and Frida have their own area of expertise. This project combines both, to allow a more extensive analysis of files and processes.

                                Project details

                                r2frida is written in C, JavaScript.

                                Strengths and weaknesses

                                • + The source code of this software is available

                                  Typical usage

                                  • Application testing
                                  • Binary analysis
                                  • Memory analysis

                                  r2frida review

                                  56

                                  bingrep

                                  Introduction

                                  Searches through binaries and highlights the most important areas with colors.

                                  Supported binary formats:

                                  • ELF 32/64, arm, x86, openrisc
                                  • Mach 32/64, arm, x86
                                  • PE

                                  Project details

                                  74

                                  Cuckoo Sandbox (cuckoo)

                                  Introduction

                                  In a matter of seconds, Cuckoo Sandbox provides detailed results on what a file does within an isolated environment. This helps with malware analysis and understanding what it exactly tries to achieve. Further analysis can be done, based on the previous actions that were done.

                                  Cuckoo Sandbox was created by Claudio Guarnieri as part of the Google Summer of Code project in 2010.

                                  Project details

                                  Cuckoo Sandbox is written in Python.

                                  Strengths and weaknesses

                                  • + More than 2000 GitHub stars
                                  • + The source code of this software is available
                                  • - Many provided pull requests are still open
                                  • - Many reported issues are still open

                                  Typical usage

                                  • Digital forensics
                                  • Malware analysis

                                  Cuckoo Sandbox review

                                  74

                                  angr

                                  Introduction

                                  Tools like angr are great for performing in-depth analysis of binaries. This could be the analysis of an unknown binary, like a collected malware sample.

                                  Project details

                                  angr is written in Python.

                                  Strengths and weaknesses

                                  • + More than 50 contributors
                                  • + More than 1000 GitHub stars
                                  • + The source code of this software is available

                                    Typical usage

                                    • Binary analysis
                                    • Malware analysis

                                    angr review

                                    60

                                    elf2json

                                    Introduction

                                    The elf2json converts an ELF binary into JSON output and helping with reverse engineering and malware analysis.

                                    Project details

                                    59

                                    chkrootkit

                                    Introduction

                                    The chkrootkit tool consists of multiple parts that may detect the presence of rootkit parts of rootkit behavior on a system.

                                    Some areas that are checked include:

                                    • interface in promiscuous mode
                                    • lastlog deletions
                                    • wtmp deletions
                                    • wtmpx deletions
                                    • signs of LKM trojans
                                    • utmp deletions

                                    Project details

                                    chkrootkit is written in C, shell script.

                                    Strengths and weaknesses

                                    • + Used language is shell script
                                    • + Project is mature (10+ years)
                                    • - Long time between releases

                                    Typical usage

                                    • Malware detection
                                    • Malware scanning

                                    chkrootkit review

                                    100

                                    ClamAV

                                    Introduction

                                    ClamAV is a popular tool to detect malicious software or malware. While it calls itself an antivirus engine, it probably won't encounter many viruses, as they have become rare. It is more likely to find other forms of malware like worms, backdoors, and ransomware. ClamAV can be used in a few ways, from doing an occasional scan up to scanning in batch. ClamAV does not do on-access scanning but can be combined with other tools to obtain similar functionality. ClamAV is often used to support scanning incoming emails for malicious content.

                                    Project details

                                    ClamAV is written in C.

                                    Strengths and weaknesses

                                    • + Many maintainers
                                    • + The source code of this software is available

                                      Typical usage

                                      • Malware analysis
                                      • Malware detection
                                      • Malware scanning

                                      ClamAV review

                                      64

                                      Diamorphine

                                      Introduction

                                      Rootkits are typically considered to be malware, or malicious software. With the intent to hide, this type of software is often used after a breach. Learning about how it works can be useful for security researchers and security professionals.

                                      Project details

                                      Diamorphine is written in C.

                                      Strengths and weaknesses

                                      • + The source code of this software is available

                                        Typical usage

                                        • Learning

                                        Diamorphine review

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